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Perceiving Neural Networks

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  1. A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

    Python 2k 360

  2. Benchmark your model on out-of-distribution datasets with carefully collected human comparison data

    Python 58 5

  3. Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

    Jupyter Notebook 138 22

  4. Python package to corrupt arbitrary images.

    Python 187 31

  5. Adversarially Robust Neural Network on MNIST.

    Python 56 17

  6. A script that applies the AdaIN style transfer method to arbitrary datasets

    Python 102 28


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